from word_to_vector_model.sentiment import Sentiment as W2V

print('word2vec')
s = W2V()
# s.train()
# s.test()
s.load()
s.test()


from doc_to_vector_model.sentiment import Sentiment as D2V

print('\ndoc2vec')
s = D2V()
# s.train()
# s.test()
s.load()
s.test()

from dict_model.sentiment import Sentiment as Dict

print('\ndict')
s = Dict()
s.test()

from naive_bayes_model.sentiment import Sentiment as NB

print('\nnaive bayes')
s = NB()
# s.train()
# s.save()
s.load()
s.test()
